Senior Data Engineer

Unison Group

Hyderabad

On-site

INR 800,000 - 1,500,000

Full time

14 days+
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Job summary

A leading data solutions provider is seeking an experienced Data Engineer in Hyderabad. The role involves designing, building, and maintaining scalable data platforms, requiring strong expertise in AWS services such as Glue and DMS. Ideal candidates should have proficiency in Python and PySpark, along with hands-on experience in developing ETL pipelines. This position offers an opportunity to work with cloud-based data engineering environments and cross-functional teams to optimize data solutions.

Qualifications

  • Hands-on experience in data modeling and developing end-to-end ETL pipelines using AWS services.
  • Strong programming skills in Python and PySpark to process large-scale datasets efficiently.
  • Proficient in SQL for data analysis, transformations, and performance tuning.

Responsibilities

  • Design, build, and maintain scalable data platforms.
  • Work extensively with AWS Glue and AWS DMS for data integration and migration.
  • Manage data stored in Snowflake, Oracle, and AWS RDS.

Skills

Data Modeling
Python
SQL
PySpark
AWS Glue
AWS DMS
CI/CD
GitLab
DBT
Snowflake
Oracle
AWS RDS
ETL Pipeline

Job description

We are looking for an experienced Data Engineer with strong expertise in designing, building, and maintaining scalable data platforms. The ideal candidate should have hands-on experience in data modeling and developing end-to-end ETL pipelines using AWS services. You will work extensively with AWS Glue and AWS DMS for data integration and migration, and manage data stored in Snowflake, Oracle, and AWS RDS.

The role requires strong programming skills in Python and PySpark to process large-scale datasets efficiently. Candidates should be proficient in SQL for data analysis, transformations, and performance tuning. Experience with DBT for data transformations and maintaining analytics-ready datasets is highly desirable.

You should have exposure to CI/CD pipelines, GitLab, and version control best practices to support automated deployments and collaborative development. The role involves working closely with cross-functional teams to ensure data quality, optimize performance, and deliver reliable data solutions aligned with business requirements. Strong problem-solving skills and experience in cloud-based data engineering environments are essential.

Requirements
  • Data Modelling
  • Glue
  • DMS
  • Snowflake
  • Oracle
  • Python
  • PySpark
  • CI/CD
  • DBT
  • GitLab
  • AWS RDS
  • ETL Pipeline
  • SQL
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